Ryan Pavel

Zebra Robotics Automation is revitalizing AMR-assisted picking to optimize fulfillment efficiency and productivity with up to 30% fewer robots need in comparison to legacy systems. Their innovative approach can help significantly lower your cost per unit by combining workers and robots into a streamlined partnership that increases throughput without sacrificing performance rates, accuracy or reliability. Maximize AMR-assisted picking efficiency with Zebra’s three-fold strategy: Balanced Utilization: Use low-cost carts for buffering instead of extra robots or labor, reducing costs. Increased Capacity: Carts boost pick density and eliminate AMR wait times, handling 150-300% more items while cutting robot needs by up to 30%. Optimized Workflows: Seamless coordination ensures every picker and robot stays productive—no idle time, no wasted effort.   Download the “Unlocking Fulfillment Potential” eBook here to learn more  

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with Sean Elliott, CEO of ToolsGroup, to discuss why uncertainty is no longer something supply chain leaders should fear—and how the right technology can turn volatility into advantage. Elliott brings decades of experience across supply chain execution and planning, a background that shapes his pragmatic leadership philosophy. As he noted, bad plans can cripple even the best execution environments, just as poor execution can undermine well-crafted plans. ToolsGroup’s mission sits squarely at that intersection.   What Makes ToolsGroup Different Elliott described ToolsGroup as one of the few truly probabilistic planning providers in the market. While many vendors claim probabilistic capabilities, most stop at probabilistic forecasting. ToolsGroup goes further by embedding probabilistic thinking across the full breadth of its planning technology. The company’s belief is simple but powerful: uncertainty is not the enemy—it’s an asset. Rather than chasing forecast accuracy for its own sake, ToolsGroup focuses on business outcomes. What planning organizations really care about, Elliott argued, is having the right inventory in the right place at the right time to satisfy customers. Customer satisfaction—driven by availability, pricing, and service—is the ultimate goal. Probabilistic planning enables organizations to…